Hemant Kumar S. Profile

EXPLORE

0.0

(0 reviews)

You're now following

Error following user.

This user does not allow users to follow them.

You are already following this user.

Your membership plan only allows 0 follows. Upgrade here.

Successfully unfollowed

Error unfollowing user.

You have successfully recommended

Error recommending user.

Something went wrong. Please refresh the page and try again.

Email successfully verified.

$25 USD / hour

alwar,

india

$25 USD / hour

It's currently 9:38 PM here

Joined February 7, 2014

0 Recommendations

Hemant Kumar S.

@hemantsain55

0.0

(0 reviews)

0.0

$25 USD / hour

alwar,

india

$25 USD / hour

N/A

Jobs Completed

N/A

On Budget

N/A

On Time

N/A

Repeat Hire Rate

Data Scientist

Experienced Data Science Professional having variety of analytical skills and ability to solve complex business problems independently. I have solved multiple business problems from different domains also worked as a Senior Analyst in an MNC and handled one of the world’s reputed IT client. My technical skills and Abilities includes EDA, Data Analysis, Statistical Analysis, Visualisation, Machine Learning, Deep Learning, Tableau, Excel, SQL, Big Data, R, Pyspark and Python.

See all Python Developers in India

Contact Hemant Kumar S. about your job

Portfolio

I have developed a project based on Text mining for a competition, organized by Kaggle and built a Classification model with almost 83% accuracy on the training dataset.
The goal of the project was to classify whether question pairs has same Semantic or not.

Feel free to explore the source code here.

https://github.com/moose9200/Semantic-Analysis-of-Question-Pairs_R

Semantic Analysis of Question Pairs

In this Kaggle competition, I was responsible for developing an algorithm which uses a broad spectrum of features to predict realty prices of a buildings. and I completed the task successfully using decision trees based model.

Feel free to explore the source code here.

https://github.com/moose9200/Housing_Regression_Price_Analysis_R

Sberbank Russian Housing Market

Kickstarter works on all or nothing basis i.e if a project doesn’t meet its goal, the project owner gets nothing. For example: if a projects’s goal is $500. Even if it gets funded till $499, the project won’t be a success. Recently, kickstarter released it's public data repository to allow researchers and enthusiasts like me to help them solve a problem. Will a project get fully funded? In this challenge, I was responsible for predicting whether a project will get successfully funded or not.

Feel free to explore the source code here.

https://github.com/moose9200/Kickstarter-Project-Funding-prediction_R

Classification for fundings

I participated in a hackathon organised by Analytics Vidhya, and built a solution to find out the pattern of electricity consumption by people basis on weekdays.
My model selected in top 3 solutions based on it's accuracy.

Feel free to explore the source code here.
https://github.com/moose9200/Analytics-Vidhya-Hiring-Hackathon

Analytics Vidhya Hiring Hackathon

Semantic Analysis of Question Pairs

Sberbank Russian Housing Market

Classification for fundings

Analytics Vidhya Hiring Hackathon

Reviews

Changes saved

No reviews to see here!

Experience

Willow.AI

Jun 2020 - Oct 2020 (4 months, 2 days)

In my recent job role, I was handling one of the giant marketing clients. Over time, developed domain expertise in the Survey and Marketing domain and helped the client with predictive and descriptive analytical solutions for better ROI.

Eclerx

Feb 2018 - Jul 2019 (1 year, 5 months)

In my recent Job role, I was responsible for handling one of the world’s reputed IT client. Planned and developed various analytical projects using EDA and Machine Learning techniques within the organization in response to business needs

Punchh, Inc.

Aug 2017 - Nov 2017 (3 months, 1 day)

I completed an internship in Data Science domain where I was responsible for data fetching, visualization and finding meaningful trends and pattern to build different machine learning models for better customer acquisition and suitable marketing strategies.